Publications

International Journal

1. Kachun Lo and Tsukasa Ishigaki.
   PPNW: Personalized Pairwise Novelty Loss Weighting for Novel Recommendation
   [Springer]Knowledge and Information Systems (KAIS). (Acceptance rate=18.7%)
   [paper]
   

International Conference Proceedings (refereed)

1. Kachun Lo and Tsukasa Ishigaki.
   X-2ch: Quad-Channel Collaborative Graph Network over Knowledge-aware Edges
   International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2021).
   [paper]
   

2. Kachun Lo and Tsukasa Ishigaki.
   Intermediary Does Matter! Conditional Proximity Embedding for Recommender Systems
   Deep Learning on Graphs: Method and Applications (KDD2021 (DLG)). (Best Student Awards)
   [paper]
   

3. Kachun Lo and Tsukasa Ishigaki.
   Matching Novelty while Training: Novel Recommendation based on Personalized Pairwise Loss
   IEEE International Conference on Data Mining (ICDM2019). (Acceptance rate=9.1%)
   [paper]
   

Preprints

1. Kachun Lo and Tsukasa Ishigaki.
   GeoCF: Geolocation-enhanced Collaborative Filtering for Cold Start Recommendations
   arXiv preprint